Lead Data & Analytics Engineer

About the Role & Team

Disney Entertainment & ESPN Product & Technology (DEEP&T) brings together the best-in-class product, technology, and commercialization teams to drive the global operations for the Company’s content engines. DEEP&T manages the P&L, distribution, network, engineering operations, sales, advertising, and key technology functions for Disney’s streaming services, including Disney+, Hulu, ESPN+, and Disney+ HotStar, as well as domestic broadcast and cable television networks.

DEEP&T plays a pivotal role in developing products, platforms, and innovations, leveraging technology to drive business performance and enhance consumer engagement. The team focuses on creating scalable systems and products that empower DEEP&T’s operations and bring creative ideas to life. With a global reach and a strong local presence, DEEP&T helps optimize platforms, resources, and technology to create industry-shaping approaches.

The Lead Data & Analytics Engineer role is a unique opportunity to be integral part of the team, providing strategic direction for data-centric systems, aligning with TWDC broader strategy and market needs across Domestic, EMEA, APAC and LATAM.

This role will be based in our London Hammersmith office, 4 days a week, with either a Monday or Friday working from home.

Values

You’ll join a team grounded in our Disney values — acting with Integrity, welcoming everyone through Inclusion, embracing boundless Creativity, working together through Collaboration and caring deeply for our Community. These values shape how we work and how we support one another every day.

What You Will Do

Manage the entire lifecycle of data systems, from ideation and planning to development, deployment, and ongoing improvement.

Promote data literacy and accessibility across the organization, enabling data-driven decision-making.

Ensure data quality, reliability, and compliance, working with data engineers and stakeholders to establish and maintain robust data processes.

Collaborate with data engineers, data scientists, product managers, and other stakeholders to identify data needs, prioritize projects, and optimize data usage.

Use data to inform media applications decisions, identify opportunities for new application and features, and develop data-driven applications systems that meet user needs.

Develop and maintain a roadmap for data-driven systems, ensuring alignment with business goals and priorities.

Define and track key metrics and KPIs to measure the success of data systems and inform future development efforts.

Analyse data to identify trends, patterns, and insights that can be used to inform media application decisions and improve user experience.

Collaborate with DBA’s and systems infrastructure teams to build and maintain the data infrastructure for optimal performance and resilience.

Builds Relationships

Establishes critical external alliances.

Engages colleagues across the organization to optimize performance.

Manages the needs of diverse stakeholders.

Facilitates win-win situations.

Resolves conflicts effectively.

Interacts well with people who have different backgrounds and work styles

Communicates Effectively

Obtains full engagement through inspiring communications.

Provides appropriate rationale and context to drive commitment.

Effectively persuades others to support ideas and plans.

Tailors’ messages appropriately to the audience.

Invites diverse points of view.

Listens and asks questions to ensure understanding.